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Record W2892872038 · doi:10.1017/ice.2018.221

Hand hygiene opportunities on Canadian acute-care inpatient units: A multicenter observational study

2018· article· en· W2892872038 on OpenAlexaffabout
Dhruv Nayyar, Christine Moore, Liz McCreight, Chiana Garvida, Emily Xu, Alex Kiss, Daniel Ricciuto, Allison McGeer, Jerome A. Leis

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2018
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsLakeridge HealthHealth Sciences CentreSunnybrook Health Science CentreMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsObservational studyHygieneMedicineMulticenter studyEmergency medicineRandomized controlled trialInpatient careMEDLINEAcute careMedical emergencyIntensive care medicineHealth careSurgeryInternal medicine

Abstract

fetched live from OpenAlex

In this multicenter observational study, medical and surgical inpatient rooms were randomized to receive 1 hour of continuous direct observation to determine hand hygiene opportunities (HHOs). After multivariable adjustment, HHOs were similar across inpatient units and hospitals. This estimate could serve to calibrate electronic hand hygiene monitoring systems for Canadian medical and surgical units.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.145
GPT teacher head0.369
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2018
Admission routes2
Has abstractyes

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